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学生对 伦敦帝国学院 提供的 Introduction to Statistics & Data Analysis in Public Health 的评价和反馈

4.7
1,210 个评分

课程概述

Welcome to Introduction to Statistics & Data Analysis in Public Health! This course will teach you the core building blocks of statistical analysis - types of variables, common distributions, hypothesis testing - but, more than that, it will enable you to take a data set you've never seen before, describe its keys features, get to know its strengths and quirks, run some vital basic analyses and then formulate and test hypotheses based on means and proportions. You'll then have a solid grounding to move on to more sophisticated analysis and take the other courses in the series. You'll learn the popular, flexible and completely free software R, used by statistics and machine learning practitioners everywhere. It's hands-on, so you'll first learn about how to phrase a testable hypothesis via examples of medical research as reported by the media. Then you'll work through a data set on fruit and vegetable eating habits: data that are realistically messy, because that's what public health data sets are like in reality. There will be mini-quizzes with feedback along the way to check your understanding. The course will sharpen your ability to think critically and not take things for granted: in this age of uncontrolled algorithms and fake news, these skills are more important than ever. Prerequisites Some formulae are given to aid understanding, but this is not one of those courses where you need a mathematics degree to follow it. You will need only basic numeracy (for example, we will not use calculus) and familiarity with graphical and tabular ways of presenting results. No knowledge of R or programming is assumed....

热门审阅

SK

Oct 11, 2019

This is the best course among all I've taken..

The instructor has presented the content precisely.

I highly recommend to those who are looking to explore R in the field of health

LA

May 25, 2019

Was a very nicely done and clear course to build or re-build foundation for most common statistical concepts and an intro to using R via R-Studio for your work with them on the basics.

筛选依据:

226 - Introduction to Statistics & Data Analysis in Public Health 的 242 个评论(共 242 个)

创建者 Tania K M

Jul 10, 2020

It was very interesting and amazing and very informative.

创建者 Keming Z

Feb 17, 2021

More details regarding hypothesis test can be included.

创建者 王心怡

Jul 28, 2021

well,but i can't open the web about some assignment

创建者 Suraj G

Jan 19, 2021

good curse but it should focus more on R skill

创建者 Justin C

Dec 22, 2019

a brief introduction to statistical thinking

创建者 Jamila K

Jul 10, 2020

amazing and very twisted course and helpful

创建者 NUSRIN C K

Aug 3, 2020

really informative thank you

创建者 sandeep d

Sep 20, 2020

great course

创建者 Maddie M

Jun 7, 2022

good course

创建者 David o

Aug 13, 2021

Quite good.

创建者 Eugenia S

Aug 9, 2022

Excellent

创建者 Aravind C

Jan 10, 2022

T​he course covered the basics of bio-statistics and using R for doing some of these statistics. But I found the lectures lacking in content related to what is to be learned. Most learning took place by taking tests, then referencing the internet to learn about the topics I got wrong. Many times what was asked in a test came later in learning material. Somehow feel the course could be better structured and more videos added to cover the topics asked in tests well as they are important.

创建者 Jocelin L

Jul 14, 2020

It says introduction to the course but I think it is presented in a manner (i.e., course materials and online reading) that makes it hard to learn, especially for someone without statistical background. I could learn because I had statistical knowledge and wanted to learn to use R.

创建者 Justin H

Jul 2, 2020

Slightly excessive emphasis on calculating formulas and results by hand. Would have been much better to spend more time practicing R and understanding underlying concepts/principles.

创建者 Vijay B

Dec 22, 2019

Overall good! Great way to get introduced to basic concepts of statistical thinking in public health and learning to use R.

创建者 DISHA A

Aug 7, 2020

Good Introductory Course. Should include hands on tutorials.

创建者 Shivraj B

Jan 5, 2021

Good basic intro, not enough R learning